Evidence based analysis of internal conflicts from inverse sensor models

For future driver assistance and safety systems high reliable and comprehensive maps of the cars environment are needed. In this contribution we introduce two new metrics derived from Dempster-Shafer theory based on ignorance and conflict. These new metrics reflect the abilities of the inverse sensor models to build reliable and comprehensive maps. By means of these metrics we compare and optimise three different inverse sensor models for a given set of data.